Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g3/E02084.hea (715 bytes) 
E02084 12 500 5000
E02084.mat 16x1+24 1000.0(0)/mV 16 0 29 20143 0 I
E02084.mat 16x1+24 1000.0(0)/mV 16 0 48 -32073 0 II
E02084.mat 16x1+24 1000.0(0)/mV 16 0 19 13711 0 III
E02084.mat 16x1+24 1000.0(0)/mV 16 0 -39 -26945 0 aVR
E02084.mat 16x1+24 1000.0(0)/mV 16 0 4 -29207 0 aVL
E02084.mat 16x1+24 1000.0(0)/mV 16 0 34 -9361 0 aVF
E02084.mat 16x1+24 1000.0(0)/mV 16 0 -117 19586 0 V1
E02084.mat 16x1+24 1000.0(0)/mV 16 0 -68 1023 0 V2
E02084.mat 16x1+24 1000.0(0)/mV 16 0 -39 -32698 0 V3
E02084.mat 16x1+24 1000.0(0)/mV 16 0 9 29739 0 V4
E02084.mat 16x1+24 1000.0(0)/mV 16 0 39 26000 0 V5
E02084.mat 16x1+24 1000.0(0)/mV 16 0 58 25937 0 V6
# Age: 67
# Sex: Male
# Dx: 713426002,89792004
# Rx: Unknown
# Hx: Unknown